Research on Fault Diagnosis Based on TEAMS

Yan Hong Liang; Qing Yi Wu; Dan Jin

doi:10.4028/www.scientific.net/AMR.605-607.797

Paper Titles

Research on Parameter Distribution of Interval Deleted Data with Turnbull Estimation
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Stress Analysis of Ultra-Supercritical and Electrical Three-Way Valve Body Intensity in a High Pressure Heater Using FEM
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Credibility Measure and Assessment Method of Equipment Severity to Voltage Sag
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Discussion about Circuit Board Fault Diagnosis Based on D Algorithm
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Research on Fault Diagnosis Based on TEAMS
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Mechanism Movement Reliability Analysis of Galting Gun
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Sensitive Equipment Failure Assessment Caused by Voltage Sags Using Interval Probability
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Tooth Surface Contact Fatigue Reliability Analysis of Cycloidal Gear Based on Monte-Carlo
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Fault Location for Transmission Line with Shunt Reactors
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Research on Fault Diagnosis Based on TEAMS

Research on Fault Diagnosis Based on TEAMS

Abstract:

The paper focuses on introducing the basic condition of the TEAMS and the basic design process of multi-signal modeling and diagnostic strategy. Moreover, it introduces the applications of TEAMS in fault diagnosis from three aspects: model establishment, performance analysis and diagnostic strategy. The superiority and effectiveness of above-mentioned method is verified by an instance and the results are useful to the fault diagnosis of complex electronic equipment.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

797-801

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.797

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Online since:

December 2012

Authors:

Yan Hong Liang, Qing Yi Wu, Dan Jin

Keywords:

Fault Diagnosis, Multi-Signal Model, TEAMS, Testability

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References

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